Investigation of the Empirical Mode Decomposition Based on Genetic Algorithm Optimization Schemes

Empirical mode decomposition (EMD) has lately received much attention due to the many interesting features that exhibits. However it lacks a strong theoretical basis which would allow a performance analysis and hence the enhancement and optimization of the method in a systematic way. In this paper, an investigation of EMD is attempted in an alternative way. The interpolation points and the piecewise interpolating polynomials for the formation of the upper and lower envelopes of the signal are optimized based on a genetic algorithm framework revealing important characteristics of the method which where previously hidden. As a result, novel directions for both the performance enhancement and the theoretical investigation of the method are unveiling.